Control Strategies For Dynamic Systems
Download Control Strategies For Dynamic Systems PDF/ePub or read online books in Mobi eBooks. Click Download or Read Online button to get Control Strategies For Dynamic Systems book now. This website allows unlimited access to, at the time of writing, more than 1.5 million titles, including hundreds of thousands of titles in various foreign languages.
Control Strategies for Dynamic Systems
Presenting a unified modeling approach to demonstrate the common components inherent in all physical systems, Control Strategies for Dynamic Systems comprehensively covers the theory, design, and implementation of analog, digital, and advanced control systems for electronic, aeronautical, automotive, and industrial applications. Detailing advanced tools and strategies used to analyze controller performance, the book summarizes hardware and software utilization; frequency response and root locus methods; the evaluation of PID, phase-lag, and phase-lead controllers; and the effect of disturbances and command inputs on steady-state errors. It also includes numerous case studies and MATLAB® examples.
Control Strategies for Dynamic Systems
Presenting a unified modeling approach to demonstrate the common components inherent in all physical systems, Control Strategies for Dynamic Systems comprehensively covers the theory, design, and implementation of analog, digital, and advanced control systems for electronic, aeronautical, automotive, and industrial applications. Detailing advanced
Control and Dynamic Systems V30: Advances in Algorithms and Computational Techniques in Dynamic System Control Part 3 of 3
Control and Dynamic Systems: Advances in Theory in Applications, Volume 30: Advances in Algorithms and Computational Techniques in Dynamic Systems Control, Part 3 of 3 discusses developments in algorithms and computational techniques for control and dynamic systems. This volume begins with the issue of decision making or optimal control in the natural environment. It then discusses large-scale systems composed of multiple sensors; algorithms for systems with multiplicative noise; stochastic differential games; Markovian targets; low-cost microcomputer and true digital control systems; and algorithms for the design of teleoperated systems. This book is an important reference for practitioners in the field who want a comprehensive source of techniques with significant applied implications.